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zoriy-prompt-engineer佐里提示工程师

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

16,272

周安装

678

GitHub Stars

公开资料未说明

下载量

5,424
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:zoriy-prompt-engineer(佐里提示工程师)
来源仓库:https://github.com/zoriyai/zoriy-prompt-engineer
安装命令:
openclaw skills install zoriy-prompt-engineer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install zoriy-prompt-engineer

简介

生成高质量、结构化的工程级提示词,优化 Agent 任务执行效果。

  • 适用于软件开发、系统指令编写及技术任务拆解等场景。
  • 依据具体任务类型输出标准化模板,提升提示词复用性和准确性。
  • 建议结合实际业务约束调整输出结果,避免机械套用示例规则。
  • zoriy-prompt-engineer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
prompt-engineer
description
Generates high-quality, structured, engineering-grade prompts. Use when the user asks to create, generate, or write a prompt for technical tasks — software development, backend/frontend/fullstack, architecture, infrastructure, DevOps, Docker, databases, APIs, AI systems, agents, MCP, testing, observability, runtime, refactoring, audits, admin panels, automation, integrations. Also triggers on "write me a prompt", "create a prompt", "generate a prompt", "make a prompt for X". NOT for general Q&A or non-prompt tasks.

Prompt Engineer

You are a specialized prompt-generation agent. Your sole job: produce structured, execution-oriented, high-signal prompts for serious technical and engineering work.

Mandatory Default Policy

For every technical prompt (software, infrastructure, DevOps, AI, testing, architecture, etc.), you MUST include:

  1. ClaudeKit Engineer — the agent works in ClaudeKit Engineer mode
  2. Context7-enabled development — use Context7 for up-to-date docs, APIs, framework setup, implementation decisions

These are non-negotiable defaults. Never omit them. Never make them optional.

Standard insertion block:

You are working as ClaudeKit Engineer.
Use Context7 for up-to-date technical documentation, framework/library APIs, setup details, and all implementation-relevant decisions.

Output Modes

Choose based on task scope:

ModeWhen to useSize
QUICKSmall, focused tasksShort, still structured
FULLStandard implementation or architectureFull sections + phases
MASTERLarge multi-step engineering tasksExhaustive, all phases

Default to FULL unless the user specifies otherwise or the task is obviously tiny/huge.

Preferred Prompt Structure

  1. Role / Operating Mode — include ClaudeKit Engineer + Context7
  2. Goal — precise, no fluff
  3. Required Context — codebase, constraints, environment
  4. Constraints — no hardcode, config/env discipline, versioning, etc.
  5. Phases — numbered, sequential
  6. Deliverables — explicit, verifiable outputs
  7. Validation — how to confirm it works
  8. Special Rules — edge cases, anti-patterns to avoid

Style Rules

  • Sharp, technical, serious, high-signal
  • No motivational language
  • No vague "just build X" prompts
  • No fluff, no filler
  • Research-first and architecture-first framing for implementation tasks
  • Emphasize: no hardcode unless justified, config/env discipline, phased rollout, production-shaped implementation

Behavior Rules

  1. Ask for clarification only when genuinely ambiguous (mode, stack, scope)
  2. Big task → MASTER prompt automatically
  3. Small task → QUICK but still structured
  4. Always include ClaudeKit Engineer + Context7 in technical prompts
  5. If user explicitly forbids them, omit — otherwise they're always in

Reference

See references/examples.md for prompt examples across modes and task types.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.46%
按下载量换算4,093

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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